Developing software for dynamic analysis of fractal time series

The ability to predict the future often seems far-fetched one will never know with absolute certainty. However, many things in real-life occur for a reason. At many times, these reasons are a surmount of multiple indicators that has passed, present and yet to come. Many people put much time and effo...

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Main Author: Gan, Zi Yan
Other Authors: Vladimir Vladimirovich Kulish
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/72124
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-721242023-03-04T19:25:23Z Developing software for dynamic analysis of fractal time series Gan, Zi Yan Vladimir Vladimirovich Kulish School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering The ability to predict the future often seems far-fetched one will never know with absolute certainty. However, many things in real-life occur for a reason. At many times, these reasons are a surmount of multiple indicators that has passed, present and yet to come. Many people put much time and effort in trying to predict the future and Harold Edwin Hurst was one. He studied the River Nile all his life to try and determine the floods and droughts of the River. Eventually he came up with an expression which could determine a coefficient that can relate the long-term range dependence of a series. The calculation of this series is a tedious and gruelling process which Hurst dedicated his life. Thus, using modern tools such as the computer, we will be able to create a program to calculate the complex algorithm in a matter of minutes. This paper shows the various considerations as well as the documentation of the software created to calculate the Hurst Exponent as well as other tools as accompaniment. The code is provided in the appendix. Bachelor of Engineering (Mechanical Engineering) 2017-05-29T01:19:13Z 2017-05-29T01:19:13Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/72124 en Nanyang Technological University 71 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering
spellingShingle DRNTU::Engineering::Mechanical engineering
Gan, Zi Yan
Developing software for dynamic analysis of fractal time series
description The ability to predict the future often seems far-fetched one will never know with absolute certainty. However, many things in real-life occur for a reason. At many times, these reasons are a surmount of multiple indicators that has passed, present and yet to come. Many people put much time and effort in trying to predict the future and Harold Edwin Hurst was one. He studied the River Nile all his life to try and determine the floods and droughts of the River. Eventually he came up with an expression which could determine a coefficient that can relate the long-term range dependence of a series. The calculation of this series is a tedious and gruelling process which Hurst dedicated his life. Thus, using modern tools such as the computer, we will be able to create a program to calculate the complex algorithm in a matter of minutes. This paper shows the various considerations as well as the documentation of the software created to calculate the Hurst Exponent as well as other tools as accompaniment. The code is provided in the appendix.
author2 Vladimir Vladimirovich Kulish
author_facet Vladimir Vladimirovich Kulish
Gan, Zi Yan
format Final Year Project
author Gan, Zi Yan
author_sort Gan, Zi Yan
title Developing software for dynamic analysis of fractal time series
title_short Developing software for dynamic analysis of fractal time series
title_full Developing software for dynamic analysis of fractal time series
title_fullStr Developing software for dynamic analysis of fractal time series
title_full_unstemmed Developing software for dynamic analysis of fractal time series
title_sort developing software for dynamic analysis of fractal time series
publishDate 2017
url http://hdl.handle.net/10356/72124
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